Transcribe audio files locally on Apple Silicon using MLX Whisper.
npx skills add https://github.com/malue-ai/dazee-small --skill mlx-whisper
Please help me install this Agent Skill. Skill: mlx-whisper Source: https://github.com/malue-ai/dazee-small/tree/main/skills/library/mlx-whisper Command: npx skills add https://github.com/malue-ai/dazee-small --skill mlx-whisper
This Skill provides a significantly faster, privacy-preserving, and offline alternative to cloud-based speech-to-text services by leveraging Apple Silicon's MLX framework.
Use the mlx-whisper skill to transcribe the audio file named 'meeting_recording.mp3'.
High-intent search queries and answers about installing and using this skill.
You can perform local speech-to-text transcription directly on Apple Silicon by using the MLX Whisper model. This process operates entirely offline, ensuring audio data remains private while converting recordings into text.
Yes, speech-to-text conversion using the MLX Whisper model can output text with word-level timestamps. This allows for precise alignment of transcribed text with specific moments in the original audio file.
Using the MLX Whisper model on Apple Silicon achieves up to 10x faster transcription speeds compared to standard OpenAI Whisper. This local approach optimizes hardware acceleration to reduce processing time significantly.
No internet connection is required for speech-to-text transcription with MLX Whisper. The model runs completely offline on your local machine, guaranteeing that audio data and transcriptions never leave your device.
Yes, local speech-to-text using the MLX Whisper model supports various model sizes. You can select different models to balance transcription speed and accuracy based on your specific hardware and project requirements.
Offline transcription with MLX prioritizes data privacy by keeping all audio local, avoiding cloud uploads. It leverages Apple Silicon hardware for high-speed processing, making it ideal for secure meeting recordings and voice memos.
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breakingcircuits1337Transcribe audio files to text locally using the Whisper CLI.
